{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acfca773",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "!pip install -Uqq nixtla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f3ff7f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide \n",
    "from nixtla.utils import in_colab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "06f155c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide \n",
    "IN_COLAB = in_colab()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6f08a6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "if not IN_COLAB:\n",
    "    from nixtla.utils import colab_badge\n",
    "    from fastcore.test import test_eq, test_fail, test_warns\n",
    "    from dotenv import load_dotenv "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e620e533-a0ef-4151-8073-dc223b0a78a5",
   "metadata": {},
   "source": [
    "# Irregular timestamps\n",
    "\n",
    "When working with time series data, the frequency of the timestamps is a crucial factor that can significantly impact the forecasting results. Regular frequencies like daily, weekly, or monthly are straightforward to handle. However, irregular frequencies like business days, which exclude weekends, can be challenging for time series forecasting methods.\n",
    "\n",
    "Our forecast method is equipped to handle this kind of irregular time series data, as long as you specify the frequency of the series. For example, in the case of business days, the frequency should be passed as 'B'. Without this, the method might fail to automatically detect the frequency, especially when the timestamps are irregular."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5d0eb01-8b19-4e7b-bfd5-7b0fa0849d52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/12_irregular_timestamps.ipynb)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "if not IN_COLAB:\n",
    "    load_dotenv()    \n",
    "    colab_badge('docs/tutorials/12_irregular_timestamps')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd971864",
   "metadata": {},
   "source": [
    "## 1. Import packages\n",
    "First, we import the required packages and initialize the Nixtla client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ec93d81-d43b-46a1-bff4-c248d52e2093",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from nixtla import NixtlaClient"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de18fdd1-5e7d-4977-be24-7fb5986c29af",
   "metadata": {},
   "outputs": [],
   "source": [
    "nixtla_client = NixtlaClient(\n",
    "    # defaults to os.environ.get(\"NIXTLA_API_KEY\")\n",
    "    api_key = 'my_api_key_provided_by_nixtla'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3e09434",
   "metadata": {},
   "source": [
    "> 👍 Use an Azure AI endpoint\n",
    ">\n",
    "> To use an Azure AI endpoint, set the `base_url` argument:\n",
    ">\n",
    "> `nixtla_client = NixtlaClient(base_url=\"you azure ai endpoint\", api_key=\"your api_key\")`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f79383c0-175e-4fd8-90c0-c5afc7a5620b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "if not IN_COLAB:\n",
    "    nixtla_client = NixtlaClient()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7867183",
   "metadata": {},
   "source": [
    "## 2. Load data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faaab842-a970-4adb-b456-a20dab478fe3",
   "metadata": {},
   "source": [
    "The first step is to fetch your time series data. The data must include timestamps and the associated values. For instance, you might be working with stock prices, and your data could look something like the following. In this example we use [`OpenBB`](https://docs.openbb.co/sdk)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c66d4903-fb50-4f6d-96c8-01b22c4cc08e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: W-WED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon. This may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n",
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: W-WED\n",
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon. This may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "#| hide\n",
    "# test custom frequency\n",
    "if not IN_COLAB:\n",
    "    df_fed_test = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/openbb/fed.csv')\n",
    "    pd.testing.assert_frame_equal(\n",
    "        nixtla_client.forecast(df_fed_test, h=12, target_col='FF', level=[90]),\n",
    "        nixtla_client.forecast(df_fed_test, h=12, target_col='FF', freq='W', level=[90])\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40849e9d-9bdb-48cd-8fd8-73a92246b53d",
   "metadata": {},
   "outputs": [],
   "source": [
    "pltr_df = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/openbb/pltr.csv')\n",
    "pltr_df['date'] = pd.to_datetime(pltr_df['date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b448287-435e-4031-bf5d-5aaa55c108de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Dividends</th>\n",
       "      <th>Stock Splits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>10.00</td>\n",
       "      <td>11.41</td>\n",
       "      <td>9.11</td>\n",
       "      <td>9.50</td>\n",
       "      <td>9.50</td>\n",
       "      <td>338584400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>9.69</td>\n",
       "      <td>10.10</td>\n",
       "      <td>9.23</td>\n",
       "      <td>9.46</td>\n",
       "      <td>9.46</td>\n",
       "      <td>124297600</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-10-02</td>\n",
       "      <td>9.06</td>\n",
       "      <td>9.28</td>\n",
       "      <td>8.94</td>\n",
       "      <td>9.20</td>\n",
       "      <td>9.20</td>\n",
       "      <td>55018300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-10-05</td>\n",
       "      <td>9.43</td>\n",
       "      <td>9.49</td>\n",
       "      <td>8.92</td>\n",
       "      <td>9.03</td>\n",
       "      <td>9.03</td>\n",
       "      <td>36316900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-10-06</td>\n",
       "      <td>9.04</td>\n",
       "      <td>10.18</td>\n",
       "      <td>8.90</td>\n",
       "      <td>9.90</td>\n",
       "      <td>9.90</td>\n",
       "      <td>90864000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date   Open   High   Low  Close  Adj Close     Volume  Dividends  \\\n",
       "0 2020-09-30  10.00  11.41  9.11   9.50       9.50  338584400        0.0   \n",
       "1 2020-10-01   9.69  10.10  9.23   9.46       9.46  124297600        0.0   \n",
       "2 2020-10-02   9.06   9.28  8.94   9.20       9.20   55018300        0.0   \n",
       "3 2020-10-05   9.43   9.49  8.92   9.03       9.03   36316900        0.0   \n",
       "4 2020-10-06   9.04  10.18  8.90   9.90       9.90   90864000        0.0   \n",
       "\n",
       "   Stock Splits  \n",
       "0           0.0  \n",
       "1           0.0  \n",
       "2           0.0  \n",
       "3           0.0  \n",
       "4           0.0  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pltr_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6ff5032-81a6-4dbb-a4a0-b70d0b9a5d68",
   "metadata": {},
   "source": [
    "Let's see that this dataset has irregular timestamps. The `dayofweek` attribute from pandas' DatetimeIndex returns the day of the week with Monday=0,...,Sunday=6. So, checking if `dayofweek > 4` is essentially checking if the date falls on a Saturday (5) or Sunday (6), which are typically non-business days (weekends)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "359e5956-ca55-417f-8537-8ce40a583c44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(pltr_df['date'].dt.dayofweek > 4).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b624fef-b091-45b6-afdf-6216e25206f4",
   "metadata": {},
   "source": [
    "As we can see the timestamp is irregular. Let's inspect the `Close` series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc1fb95b-1124-481f-b574-728d82200e3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BAAAAAAAAAFBGwhsAAAAAAAAAAGUkvAEAAAAAAAAAUEbCGwAAAAAAAAAAZfR/QuQhxPD/njIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(pltr_df, time_col='date', target_col='Close')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c00c63d",
   "metadata": {},
   "source": [
    "## 3. Forecast with irregular timestamps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84971a92-5f36-4065-912d-602fc38a6699",
   "metadata": {},
   "source": [
    "To forecast this data, you can use our `forecast` method. Importantly, remember to specify the frequency of the data using the `freq` argument. In this case, it would be 'B' for business days. We also need to define the `time_col` to select the index of the series (by default is `ds`), and the `target_col` to forecast our target variable, in this case we will forecast `Close`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "889b528c-a4d0-466b-a2db-79939ce892bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n"
     ]
    }
   ],
   "source": [
    "#| hide\n",
    "# fails to infer \"B\" frequency\n",
    "if not IN_COLAB:\n",
    "    test_fail(\n",
    "        lambda: nixtla_client.forecast(\n",
    "            df=pltr_df, h=14,\n",
    "            time_col='date', target_col='Close',\n",
    "        ),\n",
    "        contains='frequency'\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5abce491-510e-4762-a747-8b1aa12b90e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon. This may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "fcst_pltr_df = nixtla_client.forecast(\n",
    "    df=pltr_df, h=14, freq='B',\n",
    "    time_col='date', target_col='Close',\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09f50f5b",
   "metadata": {},
   "source": [
    "> 📘 Available models in Azure AI\n",
    ">\n",
    "> If you are using an Azure AI endpoint, please be sure to set `model=\"azureai\"`:\n",
    ">\n",
    "> `nixtla_client.forecast(..., model=\"azureai\")`\n",
    "> \n",
    "> For the public API, we support two models: `timegpt-1` and `timegpt-1-long-horizon`. \n",
    "> \n",
    "> By default, `timegpt-1` is used. Please see [this tutorial](https://docs.nixtla.io/docs/tutorials-long_horizon_forecasting) on how and when to use `timegpt-1-long-horizon`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d587fb40-fca1-4497-a3ad-90964b284949",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>TimeGPT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-09-25</td>\n",
       "      <td>14.688427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-09-26</td>\n",
       "      <td>14.742798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-09-27</td>\n",
       "      <td>14.781240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-09-28</td>\n",
       "      <td>14.824156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-09-29</td>\n",
       "      <td>14.795214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date    TimeGPT\n",
       "0  2023-09-25  14.688427\n",
       "1  2023-09-26  14.742798\n",
       "2  2023-09-27  14.781240\n",
       "3  2023-09-28  14.824156\n",
       "4  2023-09-29  14.795214"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcst_pltr_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66f30628-9448-4ca4-a317-3e9efc211049",
   "metadata": {},
   "source": [
    "Remember, for business days, the frequency is 'B'. For other frequencies, you can refer to the [pandas offset aliases documentation](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#timeseries-offset-aliases).\n",
    "\n",
    "By specifying the frequency, you're helping the forecast method better understand the pattern in your data, resulting in more accurate and reliable forecasts."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71e0578f-0708-4f59-a0dc-60da88150c12",
   "metadata": {},
   "source": [
    "Let's plot the forecasts generated by `TimeGPT`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22079bb1-851f-4b91-8685-a8a264b161e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(\n",
    "    pltr_df, \n",
    "    fcst_pltr_df, \n",
    "    time_col='date',\n",
    "    target_col='Close',\n",
    "    max_insample_length=90, \n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfed4fc6-3db2-424d-8496-a113d4bd40b9",
   "metadata": {},
   "source": [
    "You can also add uncertainty quantification to your forecasts using the `level` argument:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd58a16f-bb8e-4b50-89ba-1089c30bb8ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon. This may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n",
      "INFO:nixtla.nixtla_client:Calling Historical Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "fcst_pltr_levels_df = nixtla_client.forecast(\n",
    "    df=pltr_df, h=42, freq='B',\n",
    "    time_col='date', target_col='Close',\n",
    "    add_history=True,\n",
    "    level=[80, 90],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c0fb1ce-1506-4861-a318-22d911bebf24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(\n",
    "    pltr_df, \n",
    "    fcst_pltr_levels_df, \n",
    "    time_col='date',\n",
    "    target_col='Close',\n",
    "    level=[80, 90],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa7f0f56-c487-450e-b08f-7170c87907e8",
   "metadata": {},
   "source": [
    "If you want to forecast another variable just change the `target_col` parameter. Let's forecast `Volume` now:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d84d9e61-d7ae-4f92-b508-39ee658e8877",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon. This may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcst_pltr_df = nixtla_client.forecast(\n",
    "    df=pltr_df, h=14, freq='B',\n",
    "    time_col='date', target_col='Volume',\n",
    ")\n",
    "nixtla_client.plot(\n",
    "    pltr_df, \n",
    "    fcst_pltr_df, \n",
    "    time_col='date',\n",
    "    max_insample_length=90,\n",
    "    target_col='Volume',\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32289501-f3d6-4088-9e61-f8fd31b897d2",
   "metadata": {},
   "source": [
    "But what if we want to predict all the time series at once? We can do that reshaping our dataframe. Currently, the dataframe is in wide format (each series is a column), but we need to have them in long format (stacked one each other). We can do it with: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ec9057f2-6a8f-46f1-a24e-659338e5219b",
   "metadata": {},
   "outputs": [],
   "source": [
    "pltr_long_df = pd.melt(\n",
    "    pltr_df, \n",
    "    id_vars=['date'],\n",
    "    var_name='series_id'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ccc8c21-0e2b-431c-9fd2-55e7dfda0dae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>series_id</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>Open</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>Open</td>\n",
       "      <td>9.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-10-02</td>\n",
       "      <td>Open</td>\n",
       "      <td>9.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-10-05</td>\n",
       "      <td>Open</td>\n",
       "      <td>9.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-10-06</td>\n",
       "      <td>Open</td>\n",
       "      <td>9.04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date series_id  value\n",
       "0 2020-09-30      Open  10.00\n",
       "1 2020-10-01      Open   9.69\n",
       "2 2020-10-02      Open   9.06\n",
       "3 2020-10-05      Open   9.43\n",
       "4 2020-10-06      Open   9.04"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pltr_long_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c996a011-680c-4b94-b5b1-2d975a4b4e94",
   "metadata": {},
   "source": [
    "Then we just simply call the `forecast` method specifying the `id_col` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17582f52-9c5a-4aa3-ac60-ae5dd495f1bb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon. This may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "fcst_pltr_long_df = nixtla_client.forecast(\n",
    "    df=pltr_long_df, h=14, freq='B',\n",
    "    id_col='series_id', time_col='date', target_col='value',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81c3cde1-e734-4316-8175-585507b08230",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>series_id</th>\n",
       "      <th>date</th>\n",
       "      <th>TimeGPT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adj Close</td>\n",
       "      <td>2023-09-25</td>\n",
       "      <td>14.688427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adj Close</td>\n",
       "      <td>2023-09-26</td>\n",
       "      <td>14.742798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adj Close</td>\n",
       "      <td>2023-09-27</td>\n",
       "      <td>14.781240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adj Close</td>\n",
       "      <td>2023-09-28</td>\n",
       "      <td>14.824156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Adj Close</td>\n",
       "      <td>2023-09-29</td>\n",
       "      <td>14.795214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   series_id        date    TimeGPT\n",
       "0  Adj Close  2023-09-25  14.688427\n",
       "1  Adj Close  2023-09-26  14.742798\n",
       "2  Adj Close  2023-09-27  14.781240\n",
       "3  Adj Close  2023-09-28  14.824156\n",
       "4  Adj Close  2023-09-29  14.795214"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcst_pltr_long_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53df27f1-ddcc-4513-ab31-ff406c3113f7",
   "metadata": {},
   "source": [
    "Then we can forecast the `Open` series:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af9024f6-797e-45a2-bde8-31bcf89ba193",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(\n",
    "    pltr_long_df, \n",
    "    fcst_pltr_long_df, \n",
    "    id_col='series_id',\n",
    "    time_col='date',\n",
    "    target_col='value',\n",
    "    unique_ids=['Open'],\n",
    "    max_insample_length=90,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f204908-dcc3-42f0-ad0b-bf37a4d7ba14",
   "metadata": {},
   "source": [
    "#### Adding extra information"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53223a42-9b5a-4d73-9120-f3815cde13ca",
   "metadata": {},
   "source": [
    "In time series forecasting, the variables that we predict are often influenced not just by their past values, but also by other factors or variables. These external variables, known as exogenous variables, can provide vital additional context that can significantly improve the accuracy of our forecasts. One such factor, and the focus of this tutorial, is the company's revenue. Revenue figures can provide a key indicator of a company's financial health and growth potential, both of which can heavily influence its stock price. That we can obtain from `OpenBB`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "89a69806-f1f8-4332-bc94-26800b2f94de",
   "metadata": {},
   "outputs": [],
   "source": [
    "revenue_pltr = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/openbb/revenue-pltr.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f8e17880-1b8c-4536-b08a-b3fb49cd8f74",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "value = revenue_pltr['totalRevenue'].iloc[0]\n",
    "if not isinstance(value, float) and 'M' in value:\n",
    "    def convert_to_float(val):\n",
    "        if 'M' in val:\n",
    "            return float(val.replace(' M', '')) * 1e6\n",
    "        elif 'K' in val:\n",
    "            return float(val.replace(' K', '')) * 1e3\n",
    "        else:\n",
    "            return float(val)\n",
    "    revenue_pltr['totalRevenue'] = revenue_pltr['totalRevenue'].apply(convert_to_float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76fcb929-e28a-4b33-bb59-b2a10708c6e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fiscalDateEnding</th>\n",
       "      <th>totalRevenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-06-30</td>\n",
       "      <td>473010000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-09-30</td>\n",
       "      <td>477880000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-12-31</td>\n",
       "      <td>508624000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>525186000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2023-06-30</td>\n",
       "      <td>533317000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  fiscalDateEnding  totalRevenue\n",
       "5       2022-06-30   473010000.0\n",
       "6       2022-09-30   477880000.0\n",
       "7       2022-12-31   508624000.0\n",
       "8       2023-03-31   525186000.0\n",
       "9       2023-06-30   533317000.0"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue_pltr.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e580c75c-3fc0-4b0b-860a-0f5550fcd2dc",
   "metadata": {},
   "source": [
    "The first thing we observe in our dataset is that we have information available only up until the end of the first quarter of 2023. Our data is represented in a quarterly frequency, and our goal is to leverage this information to forecast the daily stock prices for the next 14 days beyond this date.\n",
    "\n",
    "However, to accurately compute such a forecast that includes the revenue as an exogenous variable, we need to have an understanding of the future values of the revenue. This is critical because these future revenue values can significantly influence the stock price. \n",
    "\n",
    "Since we're aiming to predict 14 daily stock prices, we only need to forecast the revenue for the upcoming quarter. This approach allows us to create a cohesive forecasting pipeline where the output of one forecast (revenue) is used as an input to another (stock price), thereby leveraging all available information for the most accurate predictions possible.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a5e7646-0ed8-4c27-a8cb-1e7698c694df",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: Q-DEC\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "fcst_pltr_revenue = nixtla_client.forecast(revenue_pltr, h=1, time_col='fiscalDateEnding', target_col='totalRevenue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4ebd0469-d898-4948-a556-30b209e42466",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fiscalDateEnding</th>\n",
       "      <th>TimeGPT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-09-30</td>\n",
       "      <td>547264448</td>\n",
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      ],
      "text/plain": [
       "  fiscalDateEnding    TimeGPT\n",
       "0       2023-09-30  547264448"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcst_pltr_revenue.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "831b8883-ca2e-47c5-82d2-7eb41936dae1",
   "metadata": {},
   "source": [
    "Continuing from where we left off, the next crucial step in our forecasting pipeline is to adjust the frequency of our data to match the stock prices' frequency, which is represented on a business day basis. To accomplish this, we need to resample both the historical and future forecasted revenue data.\n",
    "\n",
    "We can achieve this using the following code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58ce768b-a2f9-406f-8557-568b17fed1c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "revenue_pltr['fiscalDateEnding'] = pd.to_datetime(revenue_pltr['fiscalDateEnding'])\n",
    "revenue_pltr = revenue_pltr.set_index('fiscalDateEnding').resample('B').ffill().reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cfde875-2161-4d27-8f4a-004f54a63d9a",
   "metadata": {},
   "source": [
    "**IMPORTANT NOTE**: It's crucial to highlight that in this process, we are assigning the same revenue value to all days within the given quarter. This simplification is necessary due to the disparity in granularity between quarterly revenue data and daily stock price data. However, it's vital to treat this assumption with caution in practical applications. The impact of quarterly revenue figures on daily stock prices can vary significantly within the quarter based on a range of factors, including changing market expectations, other financial news, and events. In this tutorial, we use this assumption to illustrate the process of incorporating exogenous variables into our forecasting model, but in real-world scenarios, a more nuanced approach may be needed, depending on the available data and the specific use case."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d80a8501-8fd2-4d9e-a0bf-cc4c572f872d",
   "metadata": {},
   "source": [
    "Then we can create the full historic dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13f4ad29-4194-4210-b5d5-20e18bcf26ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "pltr_revenue_df = pltr_df.merge(revenue_pltr.rename(columns={'fiscalDateEnding': 'date'}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8eecef2-276b-45c2-92f2-8ede11569083",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Dividends</th>\n",
       "      <th>Stock Splits</th>\n",
       "      <th>totalRevenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>22.500000</td>\n",
       "      <td>23.850000</td>\n",
       "      <td>22.379999</td>\n",
       "      <td>23.290001</td>\n",
       "      <td>23.290001</td>\n",
       "      <td>61458500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>341234000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>23.950001</td>\n",
       "      <td>23.950001</td>\n",
       "      <td>22.730000</td>\n",
       "      <td>23.070000</td>\n",
       "      <td>23.070000</td>\n",
       "      <td>51788800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>341234000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-04-05</td>\n",
       "      <td>23.780001</td>\n",
       "      <td>24.450001</td>\n",
       "      <td>23.340000</td>\n",
       "      <td>23.440001</td>\n",
       "      <td>23.440001</td>\n",
       "      <td>65374300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>341234000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-04-06</td>\n",
       "      <td>23.549999</td>\n",
       "      <td>23.610001</td>\n",
       "      <td>22.830000</td>\n",
       "      <td>23.270000</td>\n",
       "      <td>23.270000</td>\n",
       "      <td>41933500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>341234000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-04-07</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>23.549999</td>\n",
       "      <td>22.809999</td>\n",
       "      <td>22.900000</td>\n",
       "      <td>22.900000</td>\n",
       "      <td>32766200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>341234000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date       Open       High        Low      Close  Adj Close    Volume  \\\n",
       "0 2021-03-31  22.500000  23.850000  22.379999  23.290001  23.290001  61458500   \n",
       "1 2021-04-01  23.950001  23.950001  22.730000  23.070000  23.070000  51788800   \n",
       "2 2021-04-05  23.780001  24.450001  23.340000  23.440001  23.440001  65374300   \n",
       "3 2021-04-06  23.549999  23.610001  22.830000  23.270000  23.270000  41933500   \n",
       "4 2021-04-07  23.000000  23.549999  22.809999  22.900000  22.900000  32766200   \n",
       "\n",
       "   Dividends  Stock Splits  totalRevenue  \n",
       "0        0.0           0.0   341234000.0  \n",
       "1        0.0           0.0   341234000.0  \n",
       "2        0.0           0.0   341234000.0  \n",
       "3        0.0           0.0   341234000.0  \n",
       "4        0.0           0.0   341234000.0  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pltr_revenue_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef655791-a097-4732-b786-82224de4862f",
   "metadata": {},
   "source": [
    "To calculate the dataframe of the future revenue:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "608101f2-99d9-482e-ac97-39c5824592b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "horizon = 14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ae4b633-9587-41bb-be8c-a4084b5d024d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea187e34-2080-4959-97d3-80527c1e65bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "future_df = pd.DataFrame({\n",
    "    'date': pd.date_range(pltr_revenue_df['date'].iloc[-1], periods=horizon + 1, freq='B')[-horizon:],\n",
    "    'totalRevenue': np.repeat(fcst_pltr_revenue.iloc[0]['TimeGPT'], horizon)\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbf03711-5a32-412f-9e08-f996092b2f64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>totalRevenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-07-03</td>\n",
       "      <td>547264448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-07-04</td>\n",
       "      <td>547264448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-07-05</td>\n",
       "      <td>547264448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-07-06</td>\n",
       "      <td>547264448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-07-07</td>\n",
       "      <td>547264448</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "        date  totalRevenue\n",
       "0 2023-07-03     547264448\n",
       "1 2023-07-04     547264448\n",
       "2 2023-07-05     547264448\n",
       "3 2023-07-06     547264448\n",
       "4 2023-07-07     547264448"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8fab568-7bb8-4899-bc88-933d192f7d1a",
   "metadata": {},
   "source": [
    "And then we can pass the future revenue in the `forecast` method using the `X_df` argument. Since the revenue is in the historic dataframe, that information will be used in the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "59acb1ee-a918-4dd9-9112-ddb4300b4d5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon. This may lead to less accurate forecasts. Please consider using a smaller horizon.\n",
      "INFO:nixtla.nixtla_client:Using the following exogenous variables: totalRevenue\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    }
   ],
   "source": [
    "fcst_pltr_df = nixtla_client.forecast(\n",
    "    pltr_revenue_df, h=horizon, \n",
    "    freq='B',\n",
    "    time_col='date', \n",
    "    target_col='Close',\n",
    "    X_df=future_df,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c5a27c29-a801-4416-b715-f0e1f66333b5",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nixtla_client.plot(\n",
    "    pltr_revenue_df, \n",
    "    fcst_pltr_df, \n",
    "    id_col='series_id',\n",
    "    time_col='date',\n",
    "    target_col='Close',\n",
    "    max_insample_length=90,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7359a590-7a74-417b-b8cd-0572f15d72ee",
   "metadata": {},
   "source": [
    "We can also see the importance of the revenue:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ad60a3ed-b22f-48ff-b107-dac460a3cced",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='features'>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nixtla_client.weights_x.plot.barh(x='features', y='weights')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0368c6f",
   "metadata": {},
   "source": [
    "From the feature importance plot, we can conclude that the revenue is an important factor in the model's predictions, meaning changes in revenue will impact the forecast outcome. "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "python3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
